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  1. 1

    Bayesian variable selection with graphical structure learning: Applications in integrative genomics. by Suprateek Kundu, Yichen Cheng, Minsuk Shin, Ganiraju Manyam, Bani K Mallick, Veerabhadran Baladandayuthapani

    Published 2018-01-01
    “…We propose a novel multi-scale Bayesian approach that combines integrative graphical structure learning from multiple sources of data with a variable selection framework-to determine the key genomic drivers of cancer progression. …”
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    Article
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    Adaptive Integrated Navigation Algorithm Based on Interactive Filter by Bin Zhao, Chunlei Gao, Hui Xia, Jinxia Han, Ying Zhu

    Published 2025-07-01
    “…To address the diverse requirements of accuracy and robustness in integrated navigation for unmanned aerial vehicles, an interactive robust filter algorithm that integrates the interactive multiple model concept and leverages the complementary applicability of the strong tracking filter and the smooth variable structure filter is proposed. …”
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    Integrating multiple “omics” analysis for plant metabolites and their functions by ZHOU Guoyan, HU Wangxiong, XU Jianhong, XUE Qingzhong

    Published 2013-05-01
    “…Instead of relying only on a single analytical technique, identification of the metabolites needs integrating multiple “omics”. In the long-term evolutionary process, the plants will synthesize new metabolites due to the mutation from the metabolic pathways of the plants. …”
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    Article
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    Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm by Yubo Zhao, Mo Chen

    Published 2025-12-01
    “…In this model, the DO series is first decomposed into multiple sub-series via VMD, and each sub-series is individually trained and predicted using the FECAM-WTConv-Transformer structure; the final output is obtained by aggregating the predictions. …”
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    Article
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    MR-EILLS: an invariance-based Mendelian randomization method integrating multiple heterogeneous GWAS summary datasets by Lei Hou, Hao Chen, Xiao-Hua Zhou

    Published 2025-08-01
    “…The MR-EILLS model works in both univariate and multivariate scenarios and allows for invalid instrumental variables that violate the exchangeability and exclusion restriction assumptions. …”
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    Article
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    An integrated mutation-based immunoinformatic approach incorporating variability in epitopes: a study based on HIV subtype C by Saurav Kumar Mishra, Neeraj Kumar, Md. Harun Or Rashid, Md. Harun Or Rashid, Sharifa Sultana, Turki M. Dawoud, Mohammed Bourhia, John J. Georrge

    Published 2025-05-01
    “…The vaccine’s structure was modeled and examined to validate its structural quality, and a high population coverage was also found. …”
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    Characterizing Wake Behavior of Adaptive Aerodynamic Structures Using Reduced-Order Models by Kyan Sadeghilari, Aditya Atre, John Hall

    Published 2025-07-01
    “…Alongside that, the Materials and Methods section shows different modeling environments and their possible integration into FLORIS. …”
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    Article
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    Structural Equation Modeling and Genome-Wide Selection for Multiple Traits to Enhance Arabica Coffee Breeding Programs by Matheus Massariol Suela, Camila Ferreira Azevedo, Ana Carolina Campana Nascimento, Eveline Teixeira Caixeta Moura, Antônio Carlos Baião de Oliveira, Gota Morota, Moysés Nascimento

    Published 2025-07-01
    “…Recognizing the interrelationship among variables becomes critical in genetic breeding programs, where the goal is often to optimize selection for multiple traits. …”
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    Article
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    Sensory Integration Training and Social Sports Games Integrated Intervention for the Occupational Therapy of Children with Autism by Zhen Wang, Yulong Gui, Wenwei Nie

    Published 2022-01-01
    “…This study used a multiple baseline cross-subject design in a single-subject experiment, with structured play as the independent variable and expressive language skills of children with autism spectrum disorders as the dependent variable, with three phases of intervention: baseline, intervention period, and maintenance period. …”
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    A comprehensive review on the integration of artificial intelligence in friction stir welding for monitoring, modelling, and process optimization by Mostafa Akbari, Ezatollah Hassanzadeh, Yaghuob Dadgar Asl, Amirhossein Moghanian

    Published 2025-06-01
    “…AI techniques are primarily employed for modeling, monitoring, optimization, and management of complex systems influenced by multiple parameters within industrial processes. …”
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    Article
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    Multi-Information-Assisted Joint Detection and Tracking of Ground Moving Target for Airborne Radar by Ran Liu, Xiangqian Li, Jinping Sun, Tao Shan

    Published 2025-06-01
    “…Additionally, we innovatively propose an improved Variable Structure Interacting Multiple Model (VS-IMM) filter that leverages road network constraints and detector outputs for tracking, featuring an enhanced model probability calculation to significantly reduce computational time. …”
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    Implementation outcomes from a randomized, controlled trial of a strategy to improve integration of behavioral health and primary care services by Constance van Eeghen, Jeni Soucie, Jessica Clifton, Juvena Hitt, Brenda Mollis, Gail L. Rose, Sarah Hudson Scholle, Kari A. Stephens, Xiaofei Zhou, Laura-Mae Baldwin

    Published 2024-11-01
    “…A recent comparative effectiveness randomized clinical trial examined the impact of a toolkit for improving integration on outcomes for patients with multiple chronic conditions. …”
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    CFD-DEM coupling analysis of the negative pressure inlet structural parameters on the performance of integrated positive-negative pressure seed-metering device by Dandan Han, Wei Li, Yunxia Wang, Qing Wang, Zhijun Wu, Yuchao Wang, You Xu, Lijia Xu

    Published 2025-03-01
    “…To assess the influence of the structural parameters of the negative pressure inlet pipe on the seeding performance of the integrated positive-negative pressure seed-metering device, angles α and β, along with taper θ, were selected as test variables for conducting coupling simulation tests and physical bench tests. …”
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    Assessment of heavy metal exposure risk to aquatic birds in the key wetland habitats of the Yellow River (China), using an integrated model by Jian Ding, Ni Wang, Yaqiao Lian, Qian Li, Xinran Li, Fei Yu

    Published 2025-08-01
    “…We assessed the exposure risks of heavy metals (Cu, Cd, Pb, Cr, and Zn) to aquatic birds using an integrated model that considered multiple intake variables: soil intake rate (Is), water intake rate (Iw), plant intake rate (Idf), and prey items intake rate (aquatic animals, Idf). …”
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